A heterogeneous multi-attribute case retrieval method based on neutrosophic sets and TODIM for emergency situations [0.03%]
基于Neutrosophic集和TODIM的应急情况下异构多属性案例检索方法
Kai Zhang,Jing Zheng,Ying-Ming Wang
Kai Zhang
Heterogeneous multi-attribute case retrieval is a crucial step in generating emergency alternatives during the course of emergency decision making (EDM) by referring to historical cases. This paper develops a heterogeneous multi-attribute c...
A Cluster-based Stratified Hybrid Decision Support Model under Uncertainty: Sustainable Healthcare Landfill Location Selection [0.03%]
不确定条件下的聚类分层混合决策支持模型及其应用——可持续发展的医疗废物填埋场选址问题研究
Erfan Babaee Tirkolaee,Ali Ebadi Torkayesh
Erfan Babaee Tirkolaee
Nowadays, healthcare waste management has become one of the significant environmental, health, and social problems. Due to population and urbanization growth and an increase in healthcare waste disposals according to the growing number of d...
Online education satisfaction assessment based on cloud model and fuzzy TOPSIS [0.03%]
基于云模型和模糊TOPSIS的在线教育满意度评估方法研究
Xiuqin Xu,Jialiang Xie,Honghui Wang et al.
Xiuqin Xu et al.
During the COVID-19, colleges organized online education on a massive scale. To make better use of online education in the post-epidemic era, this paper conducts an online education satisfaction survey with four types of colleges and 129,32...
An edge-driven multi-agent optimization model for infectious disease detection [0.03%]
一种基于边缘计算的传染病检测多智能体优化模型
Youcef Djenouri,Gautam Srivastava,Anis Yazidi et al.
Youcef Djenouri et al.
This research work introduces a new intelligent framework for infectious disease detection by exploring various emerging and intelligent paradigms. We propose new deep learning architectures such as entity embedding networks, long-short ter...
Machine learning techniques applied to mechanical fault diagnosis and fault prognosis in the context of real industrial manufacturing use-cases: a systematic literature review [0.03%]
基于真实工业制造应用场景的机器学习技术在机械故障诊断和预示中的应用：系统性文献综述
Marta Fernandes,Juan Manuel Corchado,Goreti Marreiros
Marta Fernandes
When put into practice in the real world, predictive maintenance presents a set of challenges for fault detection and prognosis that are often overlooked in studies validated with data from controlled experiments, or numeric simulations. Fo...
Social-path embedding-based transformer for graduation development prediction [0.03%]
基于社会路径嵌入的变压器在毕业发展方向预测中的应用
Guangze Yang,Yong Ouyang,Zhiwei Ye et al.
Guangze Yang et al.
As the education of students attracts more and more attention, the task of graduation development prediction has gradually become a hot topic in academia and industry. The task of graduation development prediction aims to predict the employ...
A theoretical analysis based on causal inference and single-instance learning [0.03%]
基于因果推断和单样本学习的理论分析
Chao Wang,Xuantao Lu,Wei Wang
Chao Wang
Although using single-instance learning methods to solve multi-instance problems has achieved excellent performance in many tasks, the reasons for this success still lack a rigorous theoretical explanation. In particular, the potential rela...
Yihong Zhang,Masumi Shirakawa,Yuanyuan Wang et al.
Yihong Zhang et al.
Twitter is one of the largest online platforms where people exchange information. In the first few years since its emergence, researchers have been exploring ways to use Twitter data in various decision making scenarios, and have shown prom...
New method for emergency decision making with an integrated regret theory-EDAS method in 2-tuple spherical linguistic environment [0.03%]
基于综合遗憾理论的EDAS法在二元模糊环境中的应急决策新模式研究
Lin Huang,Ling-Xiang Mao,Yao Chen et al.
Lin Huang et al.
With the frequent occurrence of various emergency events, emergency decision making (EDM) has become an important research focus recently and many studies have been conducted to decrease the negative impact of emergencies. Normally, it is e...
Masked-face recognition using deep metric learning and FaceMaskNet-21 [0.03%]
基于深度度量学习和FaceMaskNet-21的戴口罩人脸解锁模型
Rucha Golwalkar,Ninad Mehendale
Rucha Golwalkar
The coronavirus disease 2019 (COVID-19) has made it mandatory for people all over the world to wear facial masks to prevent the spread of the virus. The conventional face recognition systems used for security purposes have become ineffectiv...